Integer topological defects offer a methodology to quantify and classify active cell monolayers
Monolayers of confluent elongated cells are frequently considered active nematics, featuring <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>±</mml:mo> <mml:mfrac><mml:mrow><mml:mn>1</mml:mn></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:mfrac> </mml:math> topological defects. In extensile systems, where cells extend further along their long axis, they can accumulate at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>+</mml:mo> <mml:mfrac><mml:mrow><mml:mn>1</mml:mn></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:mfrac> </mml:math> defects and escape from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>-</mml:mo> <mml:mfrac><mml:mrow><mml:mn>1</mml:mn></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:mfrac> </mml:math> defects. Nevertheless, collective dynamics surrounding integer defects remain insufficiently understood. We induce diverse + 1 topological defects (asters, spirals, and targets) within neural progenitor cell monolayers using microfabricated patterns. Remarkably, cells migrate toward the cores of all + 1 defects, challenging existing theories and conventional extensile/contractile dichotomy, which predicts escape from highly bent spirals and targets. By combining experiments and a continuum theory derived from a cell-level model, we identify previously overlooked nonlinear active forces driving this unexpected accumulation toward defect cores, providing a unified framework to explain cell behavior across defect types. Our findings establish + 1 defects as probes to uncover key nonlinear features of active nematics, offering a methodology to characterize and classify cell monolayers.
Authors
- Yisong Yao (ORCID: https://orcid.org/0009-0000-7593-6979)
- Masaki Sano (ORCID: https://orcid.org/0000-0002-6262-9635)
- Kyogo Kawaguchi (ORCID: https://orcid.org/0000-0001-9395-9875)
- Hepeng Zhang (ORCID: https://orcid.org/0000-0001-7806-407X)
- Yongfeng Zhao (ORCID: https://orcid.org/0000-0002-4801-6285)
- Francesca Serra (ORCID: https://orcid.org/0000-0002-7308-7616)
- He Li
- Zihui Zhao (ORCID: https://orcid.org/0009-0005-9834-2379)
Institutions
- Johns Hopkins University (US)
- University of Southern Denmark (DK)
- Shanghai Jiao Tong University (CN)
- Soochow University (CN)
- RIKEN Center for Biosystems Dynamics Research (JP)
- Institute of Natural Science (KP)
- Tokyo Metropolitan University (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1038/s41467-025-57783-w
- Citations
- 5
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 6.29
Funders
- National Natural Science Foundation of China-Yunnan Joint Fund